Academic Journal
Computation of the conditions for anti-angiogenesis and gene therapy synergistic effects: Sensitivity analysis and robustness of target solutions
| العنوان: | Computation of the conditions for anti-angiogenesis and gene therapy synergistic effects: Sensitivity analysis and robustness of target solutions |
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| المؤلفون: | Diouf, Abdoulaye, Mokrani, Houda, Afenya, Evans, Camara, Baba Issa |
| المساهمون: | Université Assane Seck de Ziguinchor Sénégal (UASZ), Laboratoire de Mathématiques Raphaël Salem (LMRS), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Elmhurst College, Laboratoire Interdisciplinaire des Environnements Continentaux (LIEC), Institut Ecologie et Environnement - CNRS Ecologie et Environnement (INEE-CNRS), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Terre et Environnement de Lorraine (OTELo), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS) |
| المصدر: | ISSN: 0022-5193. |
| بيانات النشر: | HAL CCSD Elsevier |
| سنة النشر: | 2021 |
| المجموعة: | Université de Lorraine: HAL |
| مصطلحات موضوعية: | Cancer gene therapy, Oncolytic viruses, Inflammation, Mathematical model, isobologram analysis, [SDU]Sciences of the Universe [physics] |
| الوصف: | International audience ; Both anti-angiogenesis and gene therapy involve complex processes depending on non-point parameters belonging to a space of values. To successfully overcome the challenges involved in their therapeutic approaches, there is a need to analyze the sensitivity of these parameters. In this paper, a new mathematical model that combines immune system stimulations, inflammatory processes associated with tumor development, and gene therapy aimed at enhancing the efficacy of both treatments are explored. Using the global sensitivity methods of Sobol and Morris, the most important parameters are estimated. Estimation of the sensitivity variance revealed a strong interdependence between the parameters. Also, determinations of the conditions for effective therapy lead to a target of reducing the cancer cell numbers by at least 50 % . This opened the way for delimiting the parameter spaces making it possible to reach the treatment target in addition to enhancing the estimation of the minimum time of remission. The combination of therapies and sensitivity analysis have demonstrated the robustness of therapy success. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | BIBCODE: 2021JThBi.52810850D |
| DOI: | 10.1016/j.jtbi.2021.110850 |
| الاتاحة: | https://insu.hal.science/insu-03712676 https://insu.hal.science/insu-03712676v1/document https://insu.hal.science/insu-03712676v1/file/S0022519321002691.pdf https://doi.org/10.1016/j.jtbi.2021.110850 |
| Rights: | http://creativecommons.org/licenses/by-nc/ ; info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.A060989E |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.jtbi.2021.110850 |
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